Digital touch sensors are increasingly coupled with artificial intelligence to assist humans in their daily and professional activities, like lane departure warning systems or robots assisting with precision surgery. The question this project tries to answer is: should we train with or without this artificial helping hand? Cooperative learning, which occurs when two agents aim to learn certain attributes together, is likely to involve not just human peers, but hybrid pairing of human and artificial learners. Using a novel interdisciplinary approach, we examine human-AI hybrid learning for increasingly innovative tactile augmentation and assistance by integrating three different but complementary perspectives: the cognitive neuroscience of human, biological learning through vision and touch, the philosophy of self-confidence and trust in digital tactile assistants and computer science design of machine learning algorithms tailored to tactile learning with AI. The project includes citizen-science components with medical and driving schools, which will help to transfer the results to a concrete application. Together these timely initiatives will pave the way for the introduction of this new technology into society and will increase the end-users willingness to make the best use of these assistance systems.     «

Digital touch sensors are increasingly coupled with artificial intelligence to assist humans in their daily and professional activities, like lane departure warning systems or robots assisting with precision surgery. The question this project tries to answer is: should we train with or without this artificial helping hand? Cooperative learning, which occurs when two agents aim to learn certain attributes together, is likely to involve not just human peers, but hybrid pairing of human and artific...    »